Advanced Smart Locker Security System, Using Face Recognition
Published: 2025
Author(s) Name: V. Y. Bharadwaj, B. Narendra Achari and Yannam Bharath Bhushan |
Author(s) Affiliation: Comp. Science and Engg., Gokaraju Rangaraju Institute of Engineering and Tech., Hyderabad, Telangana
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Abstract
Face recognition technology is used by the suggested Advanced Smart Locker Security System to offer a safe and dependable approach to access management. Conventional locker systems that rely on RFID cards, keys, or passwords are susceptible to theft, copying, or illegal sharing. The system uses a camera-based facial recognition module combined with machine learning algorithms to swiftly and precisely authenticate individuals in order to overcome these constraints. To make sure that only those with permission can access the data, the captured face is compared to stored information. By doing away with the necessity for actual keys or codes, this reduces security threats while improving user comfort. The system can also send users alerts, log usage history, and identify unwanted access attempts. Applications for personal storage, workplaces, schools, and banks could benefit from such an intelligent security solution.
Keywords: Authentication via biometrics, Convolutional Neural Network (CNN), Counter-spoofing technology, Facial recognition, Internet of Things (IoT), Learning with machines, Online access
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